The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-04"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "11267309 (up from 11074878 yesterday: 1.74 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "530754 (up from 525121 yesterday: 1.07 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3500357

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.71



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2839436 45283 1.62 764910 129676 242 0.19 4.57
Brazil 1577004 37923 2.46 726490 64265 2381 3.85 4.08
Russia 673564 6623 0.99 154106 10011 167 1.70 1.49
India 673165 24850 3.83 364172 19268 613 3.29 2.86
Peru 299080 3481 1.18 78331 10412 186 1.82 3.48
Chile 291847 3758 1.30 124492 6192 141 2.33 2.12
United Kingdom 286412 625 0.22 -9416 44283 67 0.15 15.46
Mexico 252165 6914 2.82 109475 30366 523 1.75 12.04
Spain 250545 0 0.00 6940 28385 0 0.00 11.33
Italy 241419 235 0.10 4768 34854 21 0.06 14.44
Iran 237878 2449 1.04 52923 11408 148 1.31 4.80
Pakistan 225283 3387 1.53 92878 4619 68 1.49 2.05
Saudi Arabia 205929 4128 2.05 82621 1858 56 3.11 0.90
Turkey 204610 1154 0.57 27933 5206 20 0.39 2.54
France 204222 0 0.00 10476 29896 0 0.00 14.64
Germany 197198 418 0.21 9931 9020 10 0.11 4.57
South Africa 187977 10853 6.13 122241 3026 74 2.51 1.61
Bangladesh 159679 3288 2.10 75300 1997 29 1.47 1.25
Colombia 109793 3401 3.20 62799 4001 150 3.90 3.64
Canada 107185 223 0.21 7142 8732 10 0.11 8.15
Qatar 99183 530 0.54 20767 123 2 1.65 0.12
China 84857 19 0.02 571 4641 0 0.00 5.47
Argentina 75376 2590 3.56 45081 1481 44 3.06 1.96
Egypt 74035 1324 1.82 31055 3280 79 2.47 4.43
Sweden 71419 0 0.00 20488 5420 0 0.00 7.59
Belarus 63270 273 0.43 10029 418 6 1.46 0.66
Indonesia 62142 1447 2.38 24722 3089 53 1.75 4.97
Belgium 61838 111 0.18 1920 9771 6 0.06 15.80
Ecuador 61535 878 1.45 15179 4769 69 1.47 7.75
Iraq 58354 2334 4.17 39404 2368 106 4.69 4.06
United Arab Emirates 50857 716 1.43 8867 321 3 0.94 0.63
Netherlands 50548 2 0.00 1701 6132 0 0.00 12.13
Kuwait 49303 631 1.30 13837 365 5 1.39 0.74
Ukraine 48628 923 1.93 17451 1243 16 1.30 2.56
Kazakhstan 47171 1452 3.18 32933 188 0 0.00 0.40
Oman 45106 1177 2.68 23029 203 10 5.18 0.45
Singapore 44664 185 0.42 4467 26 0 0.00 0.06
Portugal 43569 413 0.96 7106 1605 7 0.44 3.68
Philippines 41830 1494 3.70 16438 1290 10 0.78 3.08
Bolivia 38071 1253 3.40 20229 1378 58 4.39 3.62
Panama 36983 988 2.74 16924 720 22 3.15 1.95
Dominican Republic 36184 1036 2.95 13612 786 11 1.42 2.17
Poland 35719 314 0.89 6702 1512 5 0.33 4.23
Afghanistan 32672 348 1.08 8570 826 7 0.85 2.53
Switzerland 32198 97 0.30 1104 1965 0 0.00 6.10
Israel 29170 1115 3.97 10198 330 4 1.23 1.13
Bahrain 28857 447 1.57 11144 96 1 1.05 0.33
Romania 28582 416 1.48 6903 1731 23 1.35 6.06
Nigeria 28167 603 2.19 12485 634 6 0.96 2.25
Armenia 27900 580 2.12 11896 477 8 1.71 1.71
Ireland 25509 11 0.04 214 1741 1 0.06 6.83
Honduras 22921 805 3.64 14466 629 24 3.97 2.74
Guatemala 22501 1208 5.67 13010 920 40 4.55 4.09
Azerbaijan 19801 534 2.77 10231 241 6 2.55 1.22
Japan 19461 276 1.44 2168 977 0 0.00 5.02
Ghana 19388 0 0.00 8270 117 0 0.00 0.60
Austria 18165 115 0.64 1087 705 0 0.00 3.88
Moldova 17672 227 1.30 6213 580 8 1.40 3.28
Serbia 15829 325 2.10 3578 306 8 2.68 1.93
Algeria 15500 430 2.85 4690 946 9 0.96 6.10
Nepal 15491 232 1.52 10156 34 2 6.25 0.22
Morocco 13822 534 4.02 5130 232 2 0.87 1.68
Korea, South 13091 61 0.47 1006 283 0 0.00 2.16
Denmark 13032 0 0.00 693 606 0 0.00 4.65
Cameroon 12592 0 0.00 3911 313 0 0.00 2.49
Czechia 12440 121 0.98 2449 351 -2 -0.57 2.82
Cote d’Ivoire 10462 218 2.13 5614 72 2 2.86 0.69

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 396598 726 0.18 13968 32157 20 0.06 8.11 20386.91 1653.01 1 in 49
California 252895 2381 0.95 102877 6334 19 0.30 2.50 6400.42 160.30 1 in 156
Texas 192153 6562 3.54 105238 2607 15 0.58 1.36 6626.91 89.91 1 in 151
Florida 190052 11458 6.42 116500 3702 18 0.49 1.95 8848.79 172.36 1 in 113
New Jersey 173033 291 0.17 6428 15189 25 0.16 8.78 19480.89 1710.05 1 in 51
Illinois 146612 862 0.59 14741 7014 9 0.13 4.78 11569.92 553.51 1 in 86
Massachusetts 109838 210 0.19 4443 8172 23 0.28 7.44 15805.16 1175.91 1 in 63
Arizona 94567 2695 2.93 59907 1817 19 1.06 1.92 12418.69 238.61 1 in 81
Pennsylvania 93922 530 0.57 10978 6749 3 0.04 7.19 7336.52 527.18 1 in 136
Georgia 93319 2826 3.12 36515 2857 0 0.00 3.06 8789.23 269.09 1 in 114
Michigan 72581 406 0.56 6745 6218 3 0.05 8.57 7267.65 622.62 1 in 138
North Carolina 71670 1408 2.00 28825 1422 3 0.21 1.98 6833.47 135.58 1 in 146
Maryland 69341 380 0.55 8036 3236 13 0.40 4.67 11469.51 535.26 1 in 87
Virginia 65109 716 1.11 11240 1849 4 0.22 2.84 7628.01 216.62 1 in 131
Louisiana 63289 0 0.00 17006 3278 0 0.00 5.18 13614.07 705.13 1 in 73
Ohio 56183 926 1.68 15332 2907 4 0.14 5.17 4806.44 248.69 1 in 208
Tennessee 50140 1428 2.93 20591 637 4 0.63 1.27 7337.73 93.22 1 in 136
Indiana 47432 517 1.10 7889 2687 6 0.22 5.66 7045.52 399.13 1 in 142
Connecticut 46717 0 0.00 1723 4335 0 0.00 9.28 13103.29 1215.89 1 in 76
South Carolina 43386 1854 4.46 25431 813 20 2.52 1.87 8426.57 157.90 1 in 119
Alabama 42862 997 2.38 18261 1007 1 0.10 2.35 8741.66 205.38 1 in 114
Minnesota 37624 0 0.00 7452 1503 0 0.00 3.99 6671.36 266.51 1 in 150
Washington 35247 469 1.35 9709 1354 2 0.15 3.84 4628.69 177.81 1 in 216
Colorado 33849 254 0.76 4847 1701 0 0.00 5.03 5877.85 295.38 1 in 170
Iowa 31061 598 1.96 7344 721 0 0.00 2.32 9844.79 228.52 1 in 102
Wisconsin 31055 738 2.43 8537 796 0 0.00 2.56 5333.68 136.71 1 in 187
Mississippi 30674 990 3.34 11326 1107 4 0.36 3.61 10306.61 371.96 1 in 97
Utah 24542 676 2.83 10561 181 0 0.00 0.74 7655.12 56.46 1 in 131
Missouri 23583 423 1.83 7351 1050 3 0.29 4.45 3842.49 171.08 1 in 260
Arkansas 23209 587 2.59 11114 286 5 1.78 1.23 7690.64 94.77 1 in 130
Nevada 21575 857 4.14 10578 530 2 0.38 2.46 7004.52 172.07 1 in 143
Nebraska 19827 167 0.85 3187 284 0 0.00 1.43 10249.65 146.81 1 in 98
Rhode Island 16991 0 0.00 1044 960 0 0.00 5.65 16038.91 906.21 1 in 62
Kentucky 16376 0 0.00 3931 585 0 0.00 3.57 3665.44 130.94 1 in 273
Kansas 15911 252 1.61 4891 283 1 0.35 1.78 5461.48 97.14 1 in 183
Oklahoma 15648 579 3.84 7575 398 0 0.00 2.54 3954.54 100.58 1 in 253
New Mexico 13063 287 2.25 3442 513 2 0.39 3.93 6229.88 244.66 1 in 161
Delaware 11996 73 0.61 1767 512 0 0.00 4.27 12319.21 525.79 1 in 81
District of Columbia 10447 12 0.11 738 557 2 0.36 5.33 14802.71 789.23 1 in 68
Oregon 9930 294 3.05 4553 213 4 1.91 2.15 2354.34 50.50 1 in 425
Puerto Rico 7787 104 1.35 2097 155 1 0.65 1.99 2438.24 48.53 1 in 410
Idaho 7370 376 5.38 4017 93 0 0.00 1.26 4112.57 51.90 1 in 243
South Dakota 7028 50 0.72 1195 97 0 0.00 1.38 7944.30 109.65 1 in 126
New Hampshire 5872 15 0.26 573 379 3 0.80 6.45 4318.56 278.74 1 in 232
North Dakota 3779 57 1.53 721 80 0 0.00 2.12 4958.91 104.98 1 in 202
Maine 3397 24 0.71 640 107 2 1.90 3.15 2527.13 79.60 1 in 396
West Virginia 3205 79 2.53 931 94 1 1.08 2.93 1793.36 52.60 1 in 558
Wyoming 1606 24 1.52 556 20 0 0.00 1.25 2774.90 34.56 1 in 360
Vermont 1238 2 0.16 113 56 0 0.00 4.52 1984.01 89.75 1 in 504
Montana 1167 39 3.46 579 23 0 0.00 1.97 1091.90 21.52 1 in 916
Alaska 1107 47 4.43 454 16 1 6.67 1.45 1513.24 21.87 1 in 661
Hawaii 999 24 2.46 276 19 0 0.00 1.90 705.57 13.42 1 in 1417

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4170388 396598 9.51 1298148 13968 1.08 214376.59
2 California 4553031 252895 5.55 1828638 102877 5.63 115230.95
3 Texas 2071809 192153 9.27 811490 105238 12.97 71451.84
4 Florida 2146497 190052 8.85 776084 116500 15.01 99940.56
5 New Jersey 1508548 173033 11.47 430333 6428 1.49 169839.65
6 Illinois 1735593 146612 8.45 565787 14741 2.61 136964.77
7 Massachusetts 885767 109838 12.40 182171 4443 2.44 127457.60
8 Arizona 589508 94567 16.04 261111 59907 22.94 77415.14
9 Pennsylvania 814823 93922 11.53 239772 10978 4.58 63648.16
10 Georgia 926359 93319 10.07 326679 36515 11.18 87248.95
11 Michigan 1130154 72581 6.42 330671 6745 2.04 113164.13
12 North Carolina 1018296 71670 7.04 406606 28825 7.09 97090.76
13 Maryland 573342 69341 12.09 164584 8036 4.88 94834.99
14 Virginia 699229 65109 9.31 239236 11240 4.70 81919.92
15 Louisiana 784142 63289 8.07 279759 17006 6.08 168676.44
16 Ohio 848370 56183 6.62 309472 15332 4.95 72577.87
17 Tennessee 878604 50140 5.71 277242 20591 7.43 128579.19
18 Indiana 512288 47432 9.26 171651 7889 4.60 76094.97
19 Connecticut 499669 46717 9.35 155415 1723 1.11 140148.32
20 South Carolina 420693 43386 10.31 178787 25431 14.22 81708.36
21 Alabama 442088 42862 9.70 148836 18261 12.27 90163.43
22 Minnesota 645172 37624 5.83 237180 7452 3.14 114399.66
23 Washington 599975 35247 5.87 160113 9709 6.06 78789.68
24 Colorado 345754 33849 9.79 109293 4847 4.43 60039.91
25 Iowa 329011 31061 9.44 109403 7344 6.71 104280.10
26 Wisconsin 613844 31055 5.06 202927 8537 4.21 105427.39
27 Mississippi 309915 30674 9.90 96030 11326 11.79 104132.89
28 Utah 366716 24542 6.69 103934 10561 10.16 114385.78
29 Missouri 412261 23583 5.72 142465 7351 5.16 67171.62
30 Arkansas 338893 23209 6.85 151876 11114 7.32 112297.10
31 Nevada 301229 21575 7.16 96349 10578 10.98 97796.67
32 Nebraska 187588 19827 10.57 53211 3187 5.99 96974.37
33 Rhode Island 250954 16991 6.77 59436 1044 1.76 236891.86
34 Kentucky 395647 16376 4.14 101062 3931 3.89 88557.73
35 Kansas 191561 15911 8.31 62409 4891 7.84 65753.64
36 Oklahoma 364434 15648 4.29 117995 7575 6.42 92099.23
37 New Mexico 363374 13063 3.59 108090 3442 3.18 173296.92
38 Delaware 120693 11996 9.94 40594 1767 4.35 123944.82
39 District of Columbia 104554 10447 9.99 41518 738 1.78 148146.15
40 Oregon 255026 9930 3.89 88837 4553 5.13 60465.13
42 Idaho 101067 7370 7.29 38409 4017 10.46 56396.95
43 South Dakota 83830 7028 8.38 19317 1195 6.19 94759.68
44 New Hampshire 123749 5872 4.75 29793 573 1.92 91011.25
45 North Dakota 111928 3779 3.38 26055 721 2.77 146875.19
46 Maine 105945 3397 3.21 37595 640 1.70 78815.69
47 West Virginia 181429 3205 1.77 53912 931 1.73 101518.79
48 Wyoming 35299 1606 4.55 2244 556 24.78 60990.84
49 Vermont 69397 1238 1.78 19464 113 0.58 111215.10
50 Montana 98950 1167 1.18 40946 579 1.41 92582.37
51 Alaska 122732 1107 0.90 50929 454 0.89 167770.95
52 Hawaii 83476 999 1.20 24138 276 1.14 58957.31

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 200064 0 0.00 108082 54.02 83295 8671 0 0.00 4.33
Tamil Nadu 111151 4150 3.88 62778 56.48 46863 1510 60 4.14 1.36
Delhi 99444 2244 2.31 71339 71.74 25038 3067 63 2.10 3.08
Gujarat 36123 725 2.05 25900 71.70 8279 1944 18 0.93 5.38
Uttar Pradesh 27707 1153 4.34 18761 67.71 8161 785 12 1.55 2.83
Karnataka 23474 1925 8.93 9849 41.96 13249 372 37 11.04 1.58
Telangana 22312 0 0.00 11537 51.71 10487 288 0 0.00 1.29
West Bengal 22126 895 4.22 14711 66.49 6658 757 21 2.85 3.42
Rajasthan 19756 224 1.15 15663 79.28 3640 453 6 1.34 2.29
Andhra Pradesh 18697 998 5.64 8422 45.04 10043 232 14 6.42 1.24
Haryana 17005 457 2.76 12944 76.12 3796 265 5 1.92 1.56
Madhya Pradesh 14604 0 0.00 11234 76.92 2772 598 0 0.00 4.09
Bihar 11860 403 3.52 8765 73.90 3005 90 2 2.27 0.76
Assam 11002 0 0.00 6744 61.30 4241 14 0 0.00 0.13
Odisha 9070 469 5.45 6224 68.62 2800 46 3 6.98 0.51
Jammu and Kashmir 8429 183 2.22 5255 62.34 3042 132 5 3.94 1.57
Punjab 6283 174 2.85 4408 70.16 1711 164 2 1.23 2.61
Kerala 5430 225 4.32 3174 58.45 2228 26 0 0.00 0.48
State Unassigned 4629 -370 -7.40 0 0.00 4629 0 0 NaN 0.00
Chhattisgarh 3161 0 0.00 2526 79.91 621 14 0 0.00 0.44
Uttarakhand 3124 31 1.00 2524 80.79 530 42 0 0.00 1.34
Jharkhand 2764 25 0.91 2035 73.63 711 18 0 0.00 0.65
Goa 1684 0 0.00 825 48.99 853 6 0 0.00 0.36
Tripura 1558 0 0.00 1202 77.15 355 1 0 0.00 0.06
Manipur 1325 0 0.00 667 50.34 658 0 0 NaN 0.00
Himachal Pradesh 1048 2 0.19 715 68.23 310 10 1 11.11 0.95
Ladakh 1005 0 0.00 826 82.19 178 1 0 0.00 0.10
Puducherry 946 42 4.65 448 47.36 484 14 0 0.00 1.48
Nagaland 578 15 2.66 228 39.45 350 0 0 NaN 0.00
Chandigarh 466 7 1.53 395 84.76 65 6 0 0.00 1.29
Dadra and Nagar Haveli and Daman and Diu 373 32 9.38 159 42.63 211 0 0 NaN 0.00
Arunachal Pradesh 259 0 0.00 76 29.34 182 1 0 0.00 0.39
Mizoram 186 22 13.41 133 71.51 53 0 0 NaN 0.00
Andaman and Nicobar Islands 125 6 5.04 72 57.60 53 0 0 NaN 0.00
Sikkim 103 0 0.00 52 50.49 51 0 0 NaN 0.00
Meghalaya 72 2 2.86 43 59.72 28 1 0 0.00 1.39
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1074333 94318 95 0.10 8.78 231 36 9426 16691 17.70
Piemonte 427590 31405 11 0.04 7.34 225 9 1217 4102 13.06
Emilia-Romagna 514204 28613 51 0.18 5.56 88 8 1037 4267 14.91
Veneto 1004228 19318 4 0.02 1.92 16 1 388 2023 10.47
Toscana 349745 10276 9 0.09 2.94 11 2 324 1114 10.84
Liguria 152888 9991 4 0.04 6.53 39 2 283 1558 15.59
Lazio 348633 8172 31 0.38 2.34 197 11 854 841 10.29
Marche 142031 6789 0 0.00 4.78 5 0 203 987 14.54
P.A. Trento 126689 4873 2 0.04 3.85 2 0 48 405 8.31
Campania 290745 4714 2 0.04 1.62 37 0 198 432 9.16
Puglia 186569 4536 3 0.07 2.43 21 0 111 545 12.01
Friuli Venezia Giulia 199207 3326 8 0.24 1.67 6 0 73 345 10.37
Abruzzo 109379 3305 7 0.21 3.02 28 0 159 464 14.04
Sicilia 219841 3094 3 0.10 1.41 15 2 138 282 9.11
P.A. Bolzano 86556 2645 3 0.11 3.06 3 0 85 292 11.04
Umbria 99397 1447 1 0.07 1.46 4 0 9 80 5.53
Sardegna 87244 1369 0 0.00 1.57 6 0 13 133 9.72
Valle d’Aosta 18650 1196 0 0.00 6.41 3 0 4 146 12.21
Calabria 98936 1183 1 0.08 1.20 3 0 26 97 8.20
Molise 23399 445 0 0.00 1.90 0 0 21 23 5.17
Basilicata 40562 404 0 0.00 1.00 0 0 4 27 6.68

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55784 102 0.18 5566 6 0.11 9.98 6533.86 651.93 1 in 153
Ontario 37525 118 0.32 2744 4 0.15 7.31 2550.67 186.52 1 in 392
Alberta 8259 0 0.00 155 0 0.00 1.88 1871.45 35.12 1 in 534
British Columbia 2947 0 0.00 177 0 0.00 6.01 576.61 34.63 1 in 1734
Nova Scotia 1064 0 0.00 63 0 0.00 5.92 1088.54 64.45 1 in 919
Saskatchewan 796 0 0.00 14 0 0.00 1.76 673.63 11.85 1 in 1485
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 30 3 11.11 0 0 NaN 0.00 189.68 0.00 1 in 5272
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1643 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1258 7 0.56
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 928 9 0.97
Shandong 792 7 0.88
Shanghai 716 7 0.98
Jiangsu 654 0 0.00
Sichuan 596 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Tianjin 199 3 1.51
Shanxi 198 0 0.00
Yunnan 186 2 1.08
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 156 2 1.28
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 8677.98 396.32 1 in 115
Brazil 7534.66 307.05 1 in 133
Russia 4661.34 69.28 1 in 215
India 502.74 14.39 1 in 1989
Peru 9296.86 323.66 1 in 108
Chile 16168.81 343.05 1 in 62
United Kingdom 4310.84 666.51 1 in 232
Mexico 1951.74 235.03 1 in 512
Spain 5369.59 608.34 1 in 186
Italy 3991.72 576.29 1 in 251
Iran 2930.98 140.56 1 in 341
Pakistan 1143.57 23.45 1 in 874
Saudi Arabia 6251.64 56.41 1 in 160
Turkey 2531.99 64.42 1 in 395
France 3048.54 446.28 1 in 328
Germany 2381.91 108.95 1 in 420
South Africa 3314.12 53.35 1 in 302
Bangladesh NA NA 1 in NA
Colombia 2237.48 81.54 1 in 447
Canada 2851.42 232.30 1 in 351

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 216730 23159 10.69
Los Angeles California 107826 3457 3.21
Cook Illinois 92240 4622 5.01
Maricopa Arizona 59829 880 1.47
Miami-Dade Florida 44729 1038 2.32
Nassau New York 41988 2186 5.21
Suffolk New York 41585 1983 4.77
Westchester New York 35020 1426 4.07
Harris Texas 34108 387 1.13
Philadelphia Pennsylvania 26565 1619 6.09
Dallas Texas 24778 395 1.59
Middlesex Massachusetts 24115 1877 7.78
Wayne Michigan 23123 2728 11.80
Suffolk Massachusetts 19972 1008 5.05
Broward Florida 19575 409 2.09
Bergen New Jersey 19562 2003 10.24
Riverside California 19450 479 2.46
Hudson New Jersey 18945 1455 7.68
Prince George’s Maryland 18940 688 3.63
Essex New Jersey 18859 2038 10.81
Clark Nevada 17707 435 2.46
Passaic New Jersey 16941 1192 7.04
Middlesex New Jersey 16901 1330 7.87
Fairfield Connecticut 16757 1377 8.22
Union New Jersey 16441 1327 8.07
Essex Massachusetts 16235 1119 6.89
Orange California 16191 363 2.24
Palm Beach Florida 16149 541 3.35
San Diego California 15696 387 2.47
Montgomery Maryland 15082 748 4.96
Bexar Texas 14212 117 0.82
Fairfax Virginia 14072 495 3.52
Hillsborough Florida 13700 150 1.09
San Bernardino California 13676 269 1.97
Rockland New York 13629 668 4.90
Tarrant Texas 13423 233 1.74
Orange Florida 13262 59 0.44
Providence Rhode Island 13144 0 0.00
Mecklenburg North Carolina 12576 154 1.22
Worcester Massachusetts 12481 937 7.51
New Haven Connecticut 12409 1077 8.68
Salt Lake Utah 12343 112 0.91
Oakland Michigan 12208 1091 8.94
Hennepin Minnesota 12150 785 6.46
Milwaukee Wisconsin 12083 391 3.24
Hartford Connecticut 11728 1378 11.75
Shelby Tennessee 11560 198 1.71
Marion Indiana 11546 683 5.92
Travis Texas 11009 134 1.22
King Washington 10782 619 5.74
Orange New York 10766 478 4.44
Davidson Tennessee 10726 118 1.10
District of Columbia District of Columbia 10447 557 5.33
Franklin Ohio 10023 420 4.19
Lake Illinois 9919 423 4.26
Jefferson Louisiana 9874 486 4.92
Ocean New Jersey 9682 969 10.01
Gwinnett Georgia 9482 173 1.82
Pima Arizona 9313 282 3.03
Monmouth New Jersey 9272 820 8.84
DuPage Illinois 9267 475 5.13
Norfolk Massachusetts 9260 937 10.12
Plymouth Massachusetts 8734 667 7.64
Duval Florida 8614 68 0.79
Montgomery Pennsylvania 8589 810 9.43
Fulton Georgia 8433 314 3.72
Bristol Massachusetts 8311 590 7.10
Baltimore Maryland 8234 480 5.83
Pinellas Florida 8116 184 2.27
Orleans Louisiana 8031 534 6.65
Baltimore City Maryland 7857 344 4.38
Kane Illinois 7819 275 3.52
Puerto Rico 7787 155 1.99
Mercer New Jersey 7727 586 7.58
Cuyahoga Ohio 7571 372 4.91
Macomb Michigan 7521 919 12.22
Prince William Virginia 7484 147 1.96
Erie New York 7462 639 8.56
Camden New Jersey 7434 518 6.97
Yakima Washington 7396 160 2.16
Douglas Nebraska 7392 96 1.30
Denver Colorado 7319 382 5.22
Delaware Pennsylvania 7303 659 9.02
Lee Florida 7215 162 2.25
Yuma Arizona 7062 110 1.56
Imperial California 7039 114 1.62
El Paso Texas 6953 135 1.94
Will Illinois 6883 320 4.65
Hampden Massachusetts 6861 664 9.68
St. Louis Missouri 6837 584 8.54
Morris New Jersey 6800 806 11.85
DeKalb Georgia 6689 173 2.59
Alameda California 6556 140 2.14
Polk Iowa 6464 179 2.77
Fresno California 5851 77 1.32
Bucks Pennsylvania 5844 567 9.70
Wake North Carolina 5810 49 0.84
Hamilton Ohio 5770 197 3.41
Out of GA Georgia 5727 48 0.84
Greenville South Carolina 5696 86 1.51

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc